Evolutionary optimization algorithms for sunlight-based positioning sensor networks

Pardeiro, Jose; Gomez, Javier V.; Brunete, Alberto; Sandnes, Frode Eika
Journal article, Peer reviewed
Copyright © 2014 jose pardeiro et al. this is an open access article distributed under the creative commons attribution license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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URI
https://hdl.handle.net/10642/2381
Date
2014
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Original version
Pardeiro, J., Gomez, J.V., Brunete, A. & Sandnes, F.E. (2014). Evolutionary optimization algorithms for sunlight-based positioning sensor networks. International Journal of Distributed Sensor Networks, 2014(564072). doi: 10.1155/2014/564072   http://dx.doi.org/10.1155/2014/564072
Abstract
The sunlight intensity-based global positioning system (SGPS) is able to geolocate outdoor objects by means of the sunlight

intensity detection. This paper presents the integration of SGPS into a sensor network in order to improve the overall accuracy

using evolutionary algorithms. Another contribution of the paper is to theoretically solve both global and relative positioning of

the sensors composing the network within the same framework without satellite-based GPS technology. Results show that this

approach is promising and has potential to be improved further.
Publisher
Hindawi Publishing Corporation
Series
International Journal of Distributed Sensor Networks;Article ID 564072